Songlin Wan

47 total papers · 645 total citations
34 papers, 393 citations indexed

About

Songlin Wan is a scholar working on Biomedical Engineering, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Songlin Wan has authored 34 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 16 papers in Mechanical Engineering and 15 papers in Computational Mechanics. Recurrent topics in Songlin Wan's work include Advanced Surface Polishing Techniques (26 papers), Advanced machining processes and optimization (13 papers) and Laser Material Processing Techniques (13 papers). Songlin Wan is often cited by papers focused on Advanced Surface Polishing Techniques (26 papers), Advanced machining processes and optimization (13 papers) and Laser Material Processing Techniques (13 papers). Songlin Wan collaborates with scholars based in China, United Kingdom and United States. Songlin Wan's co-authors include Chaoyang Wei, Jianda Shao, Xiangchao Zhang, Xiangqian Jiang, Min Xu, Yonggang Wei, Zhenhong Liu, Linlin Qin, Jianyu Liu and Fangqiong Li and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Journal of Medicinal Chemistry.

In The Last Decade

Songlin Wan

28 papers receiving 379 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Songlin Wan	249	174	138	81	45	34	393
Shizhong Li	30 0.1×	39 0.2×	38 0.3×	32 0.4×	11 0.2×	45	393
Zhijun Lü	55 0.2×	31 0.2×	8 0.1×	94 1.2×	26 0.6×	23	339
P. Beckley	63 0.3×	169 1.0×	9 0.1×	12 0.1×	50 1.1×	45	367
Y.S. Chung	12 0.0×	153 0.9×	134 1.0×	35 0.4×	45 1.0×	25	414
Yi Zhu	83 0.3×	29 0.2×	68 0.5×	6 0.1×	14 0.3×	39	439
Pablo Guillén	14 0.1×	181 1.0×	13 0.1×	20 0.2×	10 0.2×	33	345
Bengt-Göran Rosén	39 0.2×	263 1.5×	34 0.2×	3 0.0×	5 0.1×	40	404
Hitomi Anzai	73 0.3×	27 0.2×	33 0.2×	5 0.1×	105 2.3×	46	396
Kenji Araki	176 0.7×	94 0.5×	79 0.6×		78 1.7×	46	396
Lucie Bailly	79 0.3×	21 0.1×	19 0.1×	5 0.1×	33 0.7×	27	374

Countries citing papers authored by Songlin Wan

Since Specialization

Citations

This map shows the geographic impact of Songlin Wan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Songlin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songlin Wan more than expected).

Fields of papers citing papers by Songlin Wan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Songlin Wan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Songlin Wan. The network helps show where Songlin Wan may publish in the future.

Co-authorship network of co-authors of Songlin Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Songlin Wan. A scholar is included among the top collaborators of Songlin Wan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Songlin Wan. Songlin Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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